Padmi

Data Observability Specialist

BangalorePosted 17 months ago
Software engineeringSeniorFull Time
Apply at Diageo

Opens the source posting on foundit.in

Source description

About the role

View original

Data Quality (DQ) Observability Familiarity with cloud platforms and containerization technologies (Data Bricks). Proficiency in scripting and automation using languages such as Python, Excellent problem-solving skills with the ability to analyse complex issues and provide efficient solutions. Good communication skills and the ability to collaborate effectively across teams. Understanding of Agile and DevOps and GIT principles and their application in observability and monitoring contexts. Solid experience with instrumentation practices, including metrics, logging, and distributed tracing. E2E implementation. Right from requirement gathering and DQ design engaging with the Data Asset owners, development, and reporting. Development DQ rules with the help of Databricks Presentation of DQ results to the Data Asset Owners and other partners and work with them to build an action plan to improve the DQ results. Putting in place specific Data Improvement Plans Scale up the DQ framework to all the data assets and more. Ensure systems run efficiently, monitoring system performance and handle support in demanding environment. Handle the configuration of existing toolset for data quality, KPI system and Reporting. Proficiency in implementing and maintaining observability tools is a plus Qualifications And Experience Required Degree level education, preferably with overall 6-8 years of experience in SQL, Data warehousing and hands on Data Science Must be proficient and have experience in Data Science related technologies. Strong Python/ PySpark and SQL development skills Experience in Azure Databricks Agile development methodology using DevOps and GIT repos. Experience with Big Data tools and Cloud environment, especially Azure is a big plus. Expertise in converting Functional requirements to technical solutions and present in the business context. Experience in working with Hub and Spoke model data lakes, preferably with Diageo context is a big plus. Keeping pace with IT trends, innovation, and new developments in technology space Good Communication Skills required

One address, no account. We’ll tell you when matching roles go live.

More at Diageo

Related open roles

View all roles